Model-based real-time thermal fault diagnosis of Lithium-ion batteries

By Satadru Dey, Z. Biron, Sagar Tatipamula, Nabarun Das, S. Mohon, B. Ayalew, Pierluigi Pisu. 2016

140 citations recorded by the source corpus.

Subfields: Automotive Engineering, Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/72a282257b3cbf1cfc4f4224b62d2987f6bcffc8

Citations in the corpus

• Advanced Fault Diagnosis for Lithium-Ion Battery Systems: A Review of Fault Mechanisms, Fault Features, and Diagnosis Procedures (2020, unknown): “For the quantitative analysis of faults, certain parameters of the battery model are regarded as fault features, such as the ISC equivalent resistance [129] and the thermal model parameters [63], [130] related to convective cooling resistance faults, internal thermal resistance faults, and TR faults”